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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

SectionObjectives
Topic 1: AI System Quality Risks- Model drift and performance degradation
- Ethical and legal considerations
Topic 2: AI in Test Automation- AI-based defect prediction and analytics
- AI-supported test generation
Topic 3: Machine Learning Fundamentals for Testers- Supervised and unsupervised learning concepts
- Model training and evaluation basics
Topic 4: Introduction to AI in Software Testing- AI systems overview
- Role of AI in testing
Topic 5: Testing AI-Based Systems- Bias, fairness, and explainability testing
- Testing ML models
- Data quality and dataset validation

ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION

  • A. Testing the accuracy of the classification model.
  • B. Testing the speed of the training of the model.
  • C. Testing the speed of the prediction by the model.
  • D. Testing the API of the service powered by the ML model.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION

  • A. Black box attacks based on adversarial examples create an exact duplicate model of the original.
  • B. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
  • C. These examples are model specific and are not likely to cause another model trained on same task to fail.
  • D. These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION

  • A. Clustering requires you to know the classes.
  • B. Clustering is done without prior knowledge of output classes.
  • C. Clustering is classification of a continuous quantity.
  • D. Clustering is supervised learning.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION

  • A. Testing for bias
  • B. Testing for accuracy
  • C. Testing for security
  • D. Testing for concept drift
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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